Simulation-Based Assessment of Covariate Adjustment in Randomized Trials

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Documentation for package ‘carts’ version 0.1.0

• DESCRIPTION file.
• User guides, package vignettes and other documentation.
• Package NEWS.

Help Pages

%join%	Add additional covariates to existing covariate random generator
aggrsurv	Aggregate data in counting process format
append<-	Assignment function to append values to existing list
append<-.list	Assignment function to append values to existing list
bisection	Root finding by bisection
covar_add	Add additional covariates to existing list of covariates
covar_bootstrap	Sample from empirical distribution of covariate data
covar_join	Add additional covariates to existing covariate random generator
covar_loggamma	Simulate from a log gamma-gaussian copula distribution
covar_normal	Simulate from multivariate normal distribution
derive_covar_distribution	Derive covariate distribution from covariate data type
estimate_covar_model_full_cond	Full conditional covariate simulation model
est_adj	Construct estimator for the treatment effect in RCT based on covariate adjustment
est_gee	Construct estimator for the treatment effect in RCT
est_geebin	Construct estimator for the treatment effect in RCT
est_glm	Construct estimator for the treatment effect in RCT
est_glmbin	Construct estimator for the treatment effect in RCT
est_phreg	Marginal Cox proportional hazards model for the treatment effect in RCT
get_factor_levels	Get levels for factor columns in data.table
join_covar	Add additional covariates to existing covariate random generator
optim_sa	Root solver by Stochastic Approximation
outcome_binary	Simulate from binary model given covariates
outcome_continuous	Simulate from continuous outcome model given covariates
outcome_count	Simulate from count model given covariates
outcome_lp	Calculate linear predictor from covariates
outcome_phreg	Outcome model for time-to-event end-points (proportional hazards)
outcome_recurrent	EXPERIMENTAL: Outcome model for recurrent events with terminal events end-points
outcome_shared	Outcome model
rmvn	Multivariate normal distribution function
rnb	Simulate from a negative binomial distribution
sample_covar_parametric_model	Sample from an estimated parametric covariate model
setallargs	Set default arguments of a function
setargs	Set default arguments of a function
Trial	R6 class for power and sample-size calculations for a clinical trial
trial.estimates-class	trial.estimates class object